Financial Services
Financial data becomes exponentially more valuable when it is connected, contextualised, and continuously refined. Alchemia creates a semantic intelligence layer that unifies fragmented data across systems into a single, evolving view of clients, counterparties, and corporate structures.
The financial services data challenge
Financial institutions operate in an environment where data errors cost millions and regulatory penalties are severe. Yet their data landscapes are among the most complex in any industry.
Fragmented data across systems
Client, counterparty, and transaction data are scattered across CRM platforms, core banking systems, risk tools, and external sources. This fragmentation prevents a unified view of entities and creates inconsistencies across the organisation.
Duplicate, Inconsistent, and Untrusted Records
Multiple records often refer to the same entity, with conflicting or incomplete information. Without reliable entity resolution, institutions struggle to maintain a single source of truth for clients and counterparties.
Limited Visibility into Relationships and Risk
Financial risk is rarely isolated to a single entity. Hidden ownership structures, complex corporate hierarchies, and indirect exposures make it difficult to fully understand counterparty risk and the true nature of business relationships.
Rising Regulatory Pressure and Operational Burden
KYC, AML, and ongoing monitoring requirements demand accurate, auditable, and continuously updated data. Meeting these expectations often relies on manual processes, increasing cost, complexity, and compliance risk.
By the numbers
$30-90M
Average annual cost of onboarding and periodic review for a large corporate bank
50-60 hours
Of manual effort per client file
90-120
Days to onboard a corporate client
31-60%
Of KYC effort still manual, driving duplication and rework
Core use cases
Core Data Reconciliation
Financial institutions operate with fragmented, duplicated, and often inconsistent client and counterparty data across systems. Alchemia reconciles these records into a single, accurate “golden record” by linking and deduplicating entities across sources.
The Challenge
A financial institution needs a single, reliable view of its clients and counterparties, but data is duplicated, inconsistent, and spread across multiple systems such as CRM, onboarding, and risk platforms. Each system captures a different version of the same entity, using its own identifiers, formats, and standards.
The same client appears multiple times with conflicting attributes; different names, addresses, ownership details, or risk classifications, making it difficult to determine which record is correct. Reconciling these discrepancies requires manual effort across operations and compliance teams, introducing delays and errors.
As a result, poor data quality propagates into KYC processes, regulatory reporting, and decision-making. What should be a foundational asset becomes a continuous operational burden, consuming time and resources while increasing risk.
The Alchemia Solution
Alchemia continuously ingests data from across all sources, and applies advanced entity resolution to determine when multiple records refer to the same real-world entity. Differences in names, identifiers, and formats are resolved through probabilistic matching and semantic enrichment, without requiring upstream systems to be standardised. A live knowledge graph creates and maintains a single, trusted golden record per client, linking all related data; accounts, KYC files, transactions, and external references, into one coherent view. As new data arrives, it is automatically matched, validated, and integrated, ensuring that duplicate records are prevented and inconsistencies are resolved continuously rather than through periodic clean-up exercises. Confidence scoring and governance workflows enable automated merging where certainty is high, while allowing targeted human review for edge cases. The result is a continuously improving data foundation where client records are accurate, complete, and consistent, supporting KYC, risk, reporting, and commercial processes from a single source of truth.
Key Benefits
Single source of truth across all systems
Significant reduction in manual reconciliation effort
Improved KYC, compliance, and reporting accuracy
Lower operational costs driven by higher data quality
Hierarchy Merging and Management
Legal entity hierarchies change constantly through M&A, restructuring, and regulatory requirements. A single client might appear across dozens of legal entities, each with different reporting relationships depending on the business line, region, or regulatory view.
The Challenge
A financial institution needs a clear and complete understanding of how clients and counterparties are connected, but risk and ownership structures are complex, opaque, and constantly changing. Corporate hierarchies are fragmented across internal systems and external data sources, each providing only a partial and often inconsistent view. Beneficial ownership is difficult to identify and maintain, especially when entities span multiple jurisdictions and data formats. At the same time, different teams require different perspectives on the same structures, legal hierarchies for compliance, credit hierarchies for exposure aggregation, and sales hierarchies for client coverage. Without a unified and flexible model, institutions lack visibility into group-level exposure and interconnected risk. This leads to incomplete risk assessments, challenges in meeting regulatory requirements, and missed opportunities to manage relationships at the true group level.
The Alchemia Solution
Alchemia continuously ingests internal and external data sources to construct and maintain dynamic, multi-dimensional corporate hierarchies. Entity resolution links related organisations across datasets, while schema fusion aligns differing structures and formats without requiring upstream standardisation. A live knowledge graph models entities and their relationships allowing multiple hierarchy views to coexist on the same underlying data. Legal, credit, and commercial hierarchies are generated from the same foundation, ensuring consistency while supporting different business needs. As ownership structures evolve, the graph updates automatically, reflecting changes in real time and maintaining full lineage and provenance. Beneficial ownership is derived and maintained through connected relationship data rather than static records. Users can query and explore these structures directly, for example: “What is our total exposure to this corporate group across all subsidiaries and regions?” with answers generated from a single, unified model rather than fragmented systems. The result is a continuously updated, transparent view of corporate structures that enables accurate risk aggregation, stronger compliance, and more effective client and counterparty management.
Key Benefits
Single source of truth for all hierarchy views (legal, risk, management, regulatory)
Automatic propagation to downstream systems within minutes
Accurate aggregation of risk at group and counterparty level
Better alignment between risk, compliance, and commercial teams
Client Coverage & Relationship Intelligence
Effective client coverage requires a complete and connected view of relationships across products, regions, and business units. Alchemia enables a unified perspective on client activity, exposure, and opportunity.
The Challenge
A financial institution aims to grow and manage client relationships effectively, but client data is siloed across business lines, products, and geographies. CRM systems, product platforms, and regional teams each hold a partial view of the same client, with limited coordination between them. Relationship managers lack visibility into total client exposure and engagement across the organisation. As a result, opportunities for cross-sell and upsell remain hidden, and interactions with the client are often inconsistent or duplicated. Without a unified view, coverage remains account- or product-centric rather than client-centric. This leads to missed revenue opportunities, fragmented client experiences, and an inability to strategically manage relationships at the group level.
The Alchemia Solution
Alchemia continuously integrates data from CRM systems, product platforms, transaction systems, and interaction channels, applying entity resolution to unify all client touchpoints into a single, connected view. A live knowledge graph links accounts, products, transactions, hierarchies, and interactions to the underlying client and corporate group, creating a complete picture of relationships, exposure, and activity. This enables a shift from fragmented account-level views to true client- and group-level intelligence. As new data is generated it is automatically linked to the correct entity, ensuring that the client view remains current and complete. Relationship managers and coverage teams can query this unified model directly, for example: “What is our total relationship with this client across all regions, and where are the untapped product opportunities?” The result is a coordinated, insight-driven approach to client coverage where teams operate from a shared understanding of the client, enabling more consistent engagement, improved collaboration, and the identification of commercial opportunities that would otherwise remain hidden.
Key Benefits
True 360° view of client relationships and exposure
Increased revenue through better cross-sell and upsell identification
Improved coordination across teams and regions
Enhanced client experience due to consistent, accurate data
From data chaos to insight and growth
Financial institutions can't afford data errors. Alchemia connects and enriches your financial data to reduce KYC risk, eliminate operational inefficiencies, and unlock new commercial opportunities—transforming complexity into clarity and control.
Data sources automatically integrated
Client Data Reconciliation
Client master data
Reference data
KYC & compliance data
Corporate hierarchies & ownership data
CRM & front-office systems
Supplier Management
Procurement and contracts systems
Companies House and corporate registries
Subsidiary and ownership structures
Supplier self-declaration data
Sanctions and export control lists
Client Coverage
Client & account data
Transaction & activity data (payments, trading activity)
KYC & compliance data
Corporate hierarchies & ownership data
Interaction & relationship data (emails, CRM, product usage)
Client success story
Top 10 Global Investment Bank
A leading Canadian Capital Markets bank needed to streamline data reconciliation by matching and merging fragmented legacy data, and enriching client profiles with external market reference data sources. And this with minimal manual intervention. The bank engaged Knights
Analytics to reimagine and implement the solution.
The Issue
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The bank was facing fragmented and inconsistent data across platforms making it difficult to access trusted, real-time insights that are essential for the bank to understand their clients, analyze market trends and create personalized offerings
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The bank was looking for a solution providing seamless interoperability with existing infrastructure, breaking down data silos and consolidating disparate information into one cohesive, trusted dataset
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The bank had been relying on significant human involvement and wanted to improve operational efficiencies within the data reconciliation team ​
The Results
A consistent, complete, always up-to-date 360-
client view
91% automated matching — compared to the previous manual data reconciliation effort
99% precision and 99.9% accuracy — reducing reliance on manual reconciliation
Same day results, with a few months to production
"Alchemia didn’t just meet our expectations — it changed how we think about
managing data."
​
— Global Head of Client Data Reconciliation
Business value delivered
99.8%
Client data accuracy
Across client, counterparty, and reference data
​
2-3x
Faster time to revenue
Accelerate onboarding and start generating revenue weeks earlier
100%
Regulatory confidence
Audit-ready data that reduces KYC risk while enabling faster, compliant growth
50%
Improved wallet share visibility
Uncover cross-sell and upsell opportunities through connected client intelligence
The Alchemia approach
Accelerated Foundations
Schema fusion connects legacy banking systems. Client records, trading and sales data, external sources, client coverage — without requiring migration. Metadata graphs capture the relationships between clients, client hierarchies, products, and account managers.
Rapid integration of legacy and modern systems
No data migration required
Self-documenting financial services knowledge graph
Data Harmonisation
Entity resolution identifies that the same client, product, asset, trade, or interaction appears under different identifiers across systems. Golden profiles provide authoritative records with full context and provenance.
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Cross-system identity resolution for clients, products, assets, and trades
Golden records with full audit trail
Continuous learning from analyst corrections
Interaction Layer
GraphRAG enables natural language queries across the unified knowledge graph. Graph navigation agents surface connected intelligence, finding the relationships analysts need without manual cross-referencing.
Ask questions in plain English across all systems
Automated API generation for downstram tooling
Connected insights across clients, products, and assets